June 9, 2024

Artificial Intelligence (AI) in Biopharmaceutical Market Size To Gain USD 14.07 Bn by 2032

The artificial intelligence (AI) in biopharmaceutical market size is poised to grow by USD 14.07 billion by 2032 from USD 0.86 billion in 2022, exhibiting a CAGR of 32.3% during the forecast period 2023-2032. 

Artificial Intelligence (AI) in Biopharmaceutical Market Size 2023 To 2032

Key Takeaways

  • By region, North America contributed more than 45% of the revenue share in the artificial intelligence in biopharmaceutical market in 2022. On the other hand, Asia-Pacific is estimated to expand the fastest CAGR between 2023 and 2032.
  • By application, the drug discovery segment has held the largest market share of 35% in 2022. Whereas the research segment is anticipated to grow at a remarkable CAGR of 32.8% between 2023 and 2032.
  • By technology, the natural language processing segment generated over 32% of revenue share in 2022. Meanwhile, the deep learning segment is expected to expand at the fastest CAGR over the projected period.
  • By offering, the hardware segment had the largest market share of 44% in 2022. On the other hand, the service segment is expected to expand at the fastest CAGR over the projected period.
  • By deployment, the cloud segment had the largest market share of 52% in 2022.

Precedence Research has conducted a comprehensive market study that provides valuable insights into the performance of the market during the forecast period. The study identifies significant trends that are shaping the growth of the Artificial intelligence (AI) in biopharmaceutical market. In this recently published report, essential dynamics such as drivers, restraints, and opportunities are highlighted for both established market players and emerging participants involved in production and supply.

To begin with, the Artificial intelligence (AI) in biopharmaceutical Market report features an executive summary that offers a concise overview of the marketplace. It outlines the key players and industry categories expected to have an impact on the market in the coming years. The executive summary provides an unbiased summary of the market.

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Artificial Intelligence (AI) in Biopharmaceutical Market Scope

Report Coverage Details
Growth Rate from 2023 to 2032 CAGR of 32.3%
Market Size in 2023 USD 1.13 Billion
Market Size by 2032 USD 14.07 Billion
Largest Market North America
Base Year 2022
Forecast Period 2023 to 2032
Segments Covered By Application, By Technology, By Offering, and By Deployment
Regions Covered North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa

Read More: Carbohydrates Market Size To Gain USD 33.71 Bn by 2032

The empirical study on the global Artificial intelligence (AI) in biopharmaceutical market primarily focuses on the drivers in subsequent sections. It demonstrates how changing demographics are projected to influence the supply and demand dynamics in the Artificial intelligence (AI) in biopharmaceutical Market. Our market report for the Artificial intelligence (AI) in biopharmaceutical market also delves into the significant rules and regulations that are likely to impact the future growth of this sector. Moreover, in order to comprehend the underlying demand factors, industry experts have provided insights into its fundamental origins.

Top Key Players:

  • IBM Watson Health
  • Google Health
  • NVIDIA Corporation
  • Microsoft Healthcare
  • DeepMind
  • Atomwise
  • Insilico Medicine
  • PathAI
  • Tempus
  • GNS Healthcare
  • OWKIN
  • Cloud Pharmaceuticals
  • Numerate
  • Recursion Pharmaceuticals
  • Healx

Data Sources and Methodology

To gather comprehensive insights on the Global Artificial intelligence (AI) in biopharmaceutical Market, we relied on a range of data sources and followed a well-defined methodology. Our approach involved interactions with industry experts and key stakeholders across the market’s value chain, including management organizations, processing organizations, and analytics service providers.

We followed a rigorous data analysis process to ensure the quality and credibility of our research. The gathered information was carefully evaluated, and relevant quantitative data was subjected to statistical analysis. By employing robust analytical techniques, we were able to derive meaningful insights and present a comprehensive overview of the Global Artificial intelligence (AI) in biopharmaceutical Market.

The most resonating, simple, genuine, and important causes because of which you must decide to buy the Artificial intelligence (AI) in biopharmaceutical market report exclusively from precedence research

  • The research report has been meticulously crafted to provide comprehensive knowledge on essential marketing strategies and a holistic understanding of crucial marketing plans spanning the forecasted period from 2023 to 2032.

Key Features of the Report:

  • Comprehensive Coverage: The report extensively encompasses a detailed explanation of highly effective analytical marketing methods applicable to companies across all industry sectors.
  • Decision-Making Enhancement: It outlines a concise overview of the decision-making process while highlighting key techniques to enhance it, ensuring favorable business outcomes in the future.
  • Articulated R&D Approach: The report presents a well-defined approach to conducting research and development (R&D) activities, enabling accurate data acquisition on current and future marketing conditions.

Market Segmentation:

By Application

  • Drug Discovery
  • Precision Medicine
  • Medical Imaging & Diagnostics
  • Research

By Technology

  • Machine Learning
  • Natural Language Processing
  • Deep Learning
  • Others

By Offering

  • Hardware
  • Software
  • Services

By Deployment

  • Cloud
  • On-Premises

By Geography

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East and Africa

Reasons to Consider Purchasing the Report:

  • Enhance your market research capabilities by accessing this comprehensive and precise report on the global Artificial intelligence (AI) in biopharmaceutical market.
  • Gain a thorough understanding of the overall market landscape and be prepared to overcome challenges while ensuring robust growth.
  • Benefit from in-depth research and analysis of the latest trends shaping the global Artificial intelligence (AI) in biopharmaceutical market.
  • Obtain detailed insights into evolving market trends, current and future technologies, and strategic approaches employed by key players in the global Artificial intelligence (AI) in biopharmaceutical market.
  • Receive valuable recommendations and guidance for both new entrants and established players seeking further market expansion.
  • Discover not only the cutting-edge technological advancements in the global Artificial intelligence (AI) in biopharmaceutical market but also the strategic plans of industry leaders.

Table of Content

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Artificial Intelligence (AI) in Biopharmaceutical Market 

5.1. COVID-19 Landscape: Artificial Intelligence (AI) in Biopharmaceutical Industry Impact

5.2. COVID 19 – Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Artificial Intelligence (AI) in Biopharmaceutical Market, By Application

8.1. Artificial Intelligence (AI) in Biopharmaceutical Market, by Application, 2023-2032

8.1.1. Drug Discovery

8.1.1.1. Market Revenue and Forecast (2020-2032)

8.1.2. Precision Medicine

8.1.2.1. Market Revenue and Forecast (2020-2032)

8.1.3. Medical Imaging & Diagnostics

8.1.3.1. Market Revenue and Forecast (2020-2032)

8.1.4. Research

8.1.4.1. Market Revenue and Forecast (2020-2032)

Chapter 9. Global Artificial Intelligence (AI) in Biopharmaceutical Market, By Technology

9.1. Artificial Intelligence (AI) in Biopharmaceutical Market, by Technology, 2023-2032

9.1.1. Machine Learning

9.1.1.1. Market Revenue and Forecast (2020-2032)

9.1.2. Natural Language Processing

9.1.2.1. Market Revenue and Forecast (2020-2032)

9.1.3. Deep Learning

9.1.3.1. Market Revenue and Forecast (2020-2032)

9.1.4. Others

9.1.4.1. Market Revenue and Forecast (2020-2032)

Chapter 10. Global Artificial Intelligence (AI) in Biopharmaceutical Market, By Offering 

10.1. Artificial Intelligence (AI) in Biopharmaceutical Market, by Offering, 2023-2032

10.1.1. Hardware

10.1.1.1. Market Revenue and Forecast (2020-2032)

10.1.2. Software

10.1.2.1. Market Revenue and Forecast (2020-2032)

10.1.3. Services

10.1.3.1. Market Revenue and Forecast (2020-2032)

Chapter 11. Global Artificial Intelligence (AI) in Biopharmaceutical Market, By Deployment 

11.1. Artificial Intelligence (AI) in Biopharmaceutical Market, by Deployment, 2023-2032

11.1.1. Cloud

11.1.1.1. Market Revenue and Forecast (2020-2032)

11.1.2. On-Premises

11.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 12. Global Artificial Intelligence (AI) in Biopharmaceutical Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Application (2020-2032)

12.1.2. Market Revenue and Forecast, by Technology (2020-2032)

12.1.3. Market Revenue and Forecast, by Offering (2020-2032)

12.1.4. Market Revenue and Forecast, by Deployment (2020-2032)

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Application (2020-2032)

12.1.5.2. Market Revenue and Forecast, by Technology (2020-2032)

12.1.5.3. Market Revenue and Forecast, by Offering (2020-2032)

12.1.5.4. Market Revenue and Forecast, by Deployment (2020-2032)

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Application (2020-2032)

12.1.6.2. Market Revenue and Forecast, by Technology (2020-2032)

12.1.6.3. Market Revenue and Forecast, by Offering (2020-2032)

12.1.6.4. Market Revenue and Forecast, by Deployment (2020-2032)

12.2. Europe

12.2.1. Market Revenue and Forecast, by Application (2020-2032)

12.2.2. Market Revenue and Forecast, by Technology (2020-2032)

12.2.3. Market Revenue and Forecast, by Offering (2020-2032)

12.2.4. Market Revenue and Forecast, by Deployment (2020-2032)

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Application (2020-2032)

12.2.5.2. Market Revenue and Forecast, by Technology (2020-2032)

12.2.5.3. Market Revenue and Forecast, by Offering (2020-2032)

12.2.5.4. Market Revenue and Forecast, by Deployment (2020-2032)

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Application (2020-2032)

12.2.6.2. Market Revenue and Forecast, by Technology (2020-2032)

12.2.6.3. Market Revenue and Forecast, by Offering (2020-2032)

12.2.6.4. Market Revenue and Forecast, by Deployment (2020-2032)

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Application (2020-2032)

12.2.7.2. Market Revenue and Forecast, by Technology (2020-2032)

12.2.7.3. Market Revenue and Forecast, by Offering (2020-2032)

12.2.7.4. Market Revenue and Forecast, by Deployment (2020-2032)

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Application (2020-2032)

12.2.8.2. Market Revenue and Forecast, by Technology (2020-2032)

12.2.8.3. Market Revenue and Forecast, by Offering (2020-2032)

12.2.8.4. Market Revenue and Forecast, by Deployment (2020-2032)

12.3. APAC

12.3.1. Market Revenue and Forecast, by Application (2020-2032)

12.3.2. Market Revenue and Forecast, by Technology (2020-2032)

12.3.3. Market Revenue and Forecast, by Offering (2020-2032)

12.3.4. Market Revenue and Forecast, by Deployment (2020-2032)

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Application (2020-2032)

12.3.5.2. Market Revenue and Forecast, by Technology (2020-2032)

12.3.5.3. Market Revenue and Forecast, by Offering (2020-2032)

12.3.5.4. Market Revenue and Forecast, by Deployment (2020-2032)

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Application (2020-2032)

12.3.6.2. Market Revenue and Forecast, by Technology (2020-2032)

12.3.6.3. Market Revenue and Forecast, by Offering (2020-2032)

12.3.6.4. Market Revenue and Forecast, by Deployment (2020-2032)

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Application (2020-2032)

12.3.7.2. Market Revenue and Forecast, by Technology (2020-2032)

12.3.7.3. Market Revenue and Forecast, by Offering (2020-2032)

12.3.7.4. Market Revenue and Forecast, by Deployment (2020-2032)

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Application (2020-2032)

12.3.8.2. Market Revenue and Forecast, by Technology (2020-2032)

12.3.8.3. Market Revenue and Forecast, by Offering (2020-2032)

12.3.8.4. Market Revenue and Forecast, by Deployment (2020-2032)

12.4. MEA

12.4.1. Market Revenue and Forecast, by Application (2020-2032)

12.4.2. Market Revenue and Forecast, by Technology (2020-2032)

12.4.3. Market Revenue and Forecast, by Offering (2020-2032)

12.4.4. Market Revenue and Forecast, by Deployment (2020-2032)

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Application (2020-2032)

12.4.5.2. Market Revenue and Forecast, by Technology (2020-2032)

12.4.5.3. Market Revenue and Forecast, by Offering (2020-2032)

12.4.5.4. Market Revenue and Forecast, by Deployment (2020-2032)

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Application (2020-2032)

12.4.6.2. Market Revenue and Forecast, by Technology (2020-2032)

12.4.6.3. Market Revenue and Forecast, by Offering (2020-2032)

12.4.6.4. Market Revenue and Forecast, by Deployment (2020-2032)

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Application (2020-2032)

12.4.7.2. Market Revenue and Forecast, by Technology (2020-2032)

12.4.7.3. Market Revenue and Forecast, by Offering (2020-2032)

12.4.7.4. Market Revenue and Forecast, by Deployment (2020-2032)

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Application (2020-2032)

12.4.8.2. Market Revenue and Forecast, by Technology (2020-2032)

12.4.8.3. Market Revenue and Forecast, by Offering (2020-2032)

12.4.8.4. Market Revenue and Forecast, by Deployment (2020-2032)

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Application (2020-2032)

12.5.2. Market Revenue and Forecast, by Technology (2020-2032)

12.5.3. Market Revenue and Forecast, by Offering (2020-2032)

12.5.4. Market Revenue and Forecast, by Deployment (2020-2032)

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Application (2020-2032)

12.5.5.2. Market Revenue and Forecast, by Technology (2020-2032)

12.5.5.3. Market Revenue and Forecast, by Offering (2020-2032)

12.5.5.4. Market Revenue and Forecast, by Deployment (2020-2032)

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Application (2020-2032)

12.5.6.2. Market Revenue and Forecast, by Technology (2020-2032)

12.5.6.3. Market Revenue and Forecast, by Offering (2020-2032)

12.5.6.4. Market Revenue and Forecast, by Deployment (2020-2032)

Chapter 13. Company Profiles

13.1. IBM Watson Health

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Google Health

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. NVIDIA Corporation

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. Microsoft Healthcare

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. DeepMind

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Atomwise

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Insilico Medicine

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. PathAI

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Tempus

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. GNS Healthcare

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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